Service category 03 / 09

API, MCP & Integrations

Secure interfaces that connect products, AI models, data, and third-party platforms without fragile manual work.

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What we deliver

One focus. Five capabilities.

Let every part of your technology stack exchange the right information at the right time.

REST & GraphQL APIs

Clear interfaces for products and data.

MCP Servers

Controlled tools for AI applications.

Third-Party APIs

Integrate external platforms safely.

Webhooks

React to events in real time.

Data Synchronization

Keep distributed data consistent.

How we work

From intent to impact.

01
Define the contract
We clarify ownership, events, data meaning, permissions, limits, and failure conditions before implementation.
02
Build for failure
Validation, idempotency, retries, rate limits, logs, and recovery are part of the integration from day one.
03
Make it observable
Dashboards and alerts show what moved, what failed, and what needs human attention.

Good to know

Clear answers.

What is MCP?

The Model Context Protocol is an open protocol for connecting compatible AI applications to tools and contextual data through standardized interfaces.

Can you work with an API that has limited documentation?

Often, yes. We validate behavior in a controlled environment and document assumptions, but feasibility still depends on the provider and available access.

How do you prevent duplicate integration actions?

Where appropriate, we use idempotency keys, durable event records, unique constraints, and reconciliation checks.

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Ready to connect the next part?

Tell us what needs to change. We will help define the right first step, the technical shape, and a realistic route to launch.

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